## **Plugin Preset Configuration Guide**

### **Overview**
This guide explains how to configure plugins using presets in a YAML configuration file. Presets define specific initial values for plugin parameters, streamlining setup for repeated use or specialized applications.

### **Preset Configuration Elements**

#### **Basic Structure**
- **Package**: Identifies the software package associated with the plugin.
- **Plugin**: Specifies the particular plugin that will utilize these presets.
- **Preset**: Outlines multiple named sets of parameters, providing various configurations for plugin operation.

### **Example Preset Configuration**

**YAML Configuration:**
```yaml
package: xnippet>=0.1.0
plugin: plugin_example
preset:
  name: valuepairs
  collection:
  - name: "a=1, b=2"
    a: 1
    b: 2
  - name: "a=3, b=4"
    a: 3
    b: 4
```

**Explanation:**
- **`package`**: Specifies the minimum required version of the package needed for the plugin to function correctly.
- **`plugin`**: Identifies the plugin, `plugin_example`, that will utilize these preset configurations.
- **`preset`**: Includes a collection of named parameter sets (`valuepairs`) each with specific values for `a` and `b`, facilitating different operational modes or testing scenarios.

### **Plugin Implementation**

**Python Code for Plugin:**
```python
import utils

def example_func(a, b):
    """Calculates (a+b) + (a*b).

    Args:
        a (int): The first integer value.
        b (int): The second integer value.

    Returns:
        int: The result of the arithmetic operation.
    """
    return utils.add(utils.add(a, b), utils.mul(a, b))
```

**Plugin Manifest:**
```yaml
package: xnippet>=0.1.0
plugin:
  name: plugin_example
  version: 0.1.0

source:
  entry_point: plugin_example.py:example_func

dependencies:
  module:
    - numpy
```

### **Using the Preset Configuration**

When initializing the `plugin_example`, users can select from predefined configurations such as `a=1, b=2` or `a=3, b=4`. Each set of values is designed to provide consistent and efficient operational setups for specific tasks or testing environments.

### **Benefits of Using Presets**
- **Efficiency**: Streamlines the setup process by providing ready-to-use configurations.
- **Consistency**: Maintains uniform parameter settings across various uses or among different users, ensuring predictable outcomes.
- **Ease of Use**: Simplifies the setup for users unfamiliar with optimal settings for specific tasks, thereby enhancing user experience and reducing setup errors.
